Mac16,12
Geekbench AI Score
9940
Single Precision Score
11016
Half Precision Score
10625
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 14 2025 12:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4721
878.0 IPS |
|
|
Image Classification (HP)
|
100% |
5156
958.8 IPS |
|
|
Image Classification (Q)
|
96% |
4638
866.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7229
117.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7906
128.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7685
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27172
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31229
36.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
30308
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
4718
374.2 IPS |
|
|
Object Detection (HP)
|
100% |
5391
427.6 IPS |
|
|
Object Detection (Q)
|
92% |
4961
396.0 IPS |
|
|
Face Detection (SP)
|
100% |
12640
150.2 IPS |
|
|
Face Detection (HP)
|
100% |
17104
203.2 IPS |
|
|
Face Detection (Q)
|
100% |
13652
162.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20763
160.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23245
179.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
21416
167.3 IPS |
|
|
Style Transfer (SP)
|
100% |
56703
72.9 IPS |
|
|
Style Transfer (HP)
|
100% |
67916
87.3 IPS |
|
|
Style Transfer (Q)
|
96% |
65784
84.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11911
439.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12506
461.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10874
401.5 IPS |
|
|
Text Classification (SP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
5862
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5833
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3604
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1938
33.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2806
48.5 IPS |
